Multi-Analytical Approach Reveals Potential Microbial Indicators in Soil for Sugarcane Model Systems

• Acacio Aparecido Navarrete,

  Affiliation Cell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture CENA, University of São Paulo USP, Piracicaba, SP, Brazil

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• Tatiana Rosa Diniz,

  Affiliation Cell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture CENA, University of São Paulo USP, Piracicaba, SP, Brazil

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• Lucas Palma Perez Braga,

  Affiliation Cell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture CENA, University of São Paulo USP, Piracicaba, SP, Brazil

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• Genivaldo Gueiros Zacarias Silva,

  Affiliation Computational Science Research Center, San Diego State University, San Diego, California, United States of America

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• Julio Cezar Franchini,

  Affiliation Brazilian Agricultural Research Corporation, Londrina, PR, Brazil

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• Raffaella Rossetto,

  Affiliation São Paulo's Agency for Agribusiness Technology, Piracicaba, SP, Brazil

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• Robert Alan Edwards,

  Affiliations Computational Science Research Center, San Diego State University, San Diego, California, United States of America, Department of Computer Science, San Diego State University, San Diego, California, United States of America, Division of Mathematics and Computer Science, Argonne National Laboratory, Argonne, Illinois, United States of America

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• Siu Mui Tsai

  * E-mail: tsai@cena.usp.br

  Affiliation Cell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture CENA, University of São Paulo USP, Piracicaba, SP, Brazil

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